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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.
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What does the term "sparse prior" refer to (FBProphet Paper)?
Reading the paper "Forecasting at Scale" (FBProphet forecasting tool, see https://peerj.com/preprints/3190.pdf) I came across the term "sparse prior".
The authors explain that they were using such a " …